
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "157"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 90 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 86 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.669156	-0.766608	7.434670	-1.112053	63.413595	-0.680447	1.985905	0.161435	0.7454	0.7808	0.2713	12.718860	18.735152
2459593	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.007428	-0.519383	-0.173141	-0.579225	-0.337419	1.038085	1.262216	1.183719	0.7200	0.7196	0.2616	6.357669	6.685399
2459592	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	0.246322	-0.963225	-0.384897	-0.564909	-1.136794	-0.162949	-1.752238	-0.147907	0.0322	0.0342	0.0007	nan	nan
2459591	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.168490	-0.398070	0.132338	-0.898863	0.945259	0.042482	0.038169	0.189001	0.6526	0.6744	0.3781	8.281586	8.369830
2459590	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.860501	-0.665670	1.019777	-0.751394	1.855698	0.067160	0.136146	-0.324297	0.6551	0.6739	0.3715	6.212182	6.348600
2459589	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.659394	0.048050	11.624673	-0.610772	51.776253	0.034060	0.866231	0.172981	0.6759	0.6913	0.3051	8.307106	9.124696
2459588	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.601840	-1.227724	-0.308291	-0.601888	-0.501922	0.025456	0.547199	0.363574	0.7641	0.7568	0.2277	11.365715	11.306729
2459587	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	-0.991025	-0.835417	-0.587428	-0.675461	0.391450	0.853959	-0.102762	-0.846858	nan	nan	nan	0.000000	0.000000
2459586	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	311.918935	311.872911	inf	inf	13.744170	12.906064	655.615603	636.091726	nan	nan	nan	0.000000	0.000000
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	6.056717	-0.140358	3.573063	1.684226	6.776204	1.617204	1.698042	-0.297964	0.0348	0.0351	0.0010	0.000000	0.000000
2459584	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.085277	-0.732960	2.788597	2.129116	0.250454	0.826178	-0.446055	-0.594641	0.5964	0.6168	0.3689	19.125850	20.586527
2459583	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.134044	-1.158924	0.234895	0.239487	-0.256962	-0.556011	-0.243680	-0.008721	0.6537	0.6752	0.3912	4.358414	4.185901
2459582	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.106911	-0.937000	0.504525	0.196580	0.069170	-0.216842	-0.264218	-0.237673	0.6544	0.6740	0.3945	4.320464	3.634998
2459581	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.355416	-1.313668	-0.378147	0.453476	-0.442391	0.275326	-0.226216	-0.551872	0.6579	0.6774	0.3940	5.375215	4.957588
2459580	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.070709	-1.133693	0.657620	0.580600	-0.668458	-0.290945	-0.579739	-0.681882	0.6577	0.6774	0.3898	4.572831	4.257290
2459579	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459578	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.161215	0.348251	-0.351717	0.628116	0.511390	1.983628	0.747366	-1.564813	0.0328	0.0295	0.0016	nan	nan
2459577	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.740041	-1.316868	-0.480511	0.310922	-0.329852	0.244505	-0.376274	-0.424057	0.6569	0.6774	0.3879	5.162420	5.136968
2459576	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.069223	-0.736549	-0.737100	-0.119846	53.013052	-0.139654	8.826813	-0.434627	0.6799	0.7004	0.3912	8.498620	8.308303
2459575	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.337488	-0.749212	2.844768	-0.145123	36.157836	-0.687870	0.745596	-0.441746	0.7258	0.7429	0.3461	7.668613	8.296089
2459574	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.036932	-0.877150	-0.144905	-0.268093	66.843385	-0.237033	14.910468	-0.623053	0.6724	0.6973	0.3870	7.006086	7.500165
2459573	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.672438	-0.691788	0.534062	0.834165	-0.244830	-0.061464	-0.179398	-0.086714	0.6692	0.6920	0.3929	4.829187	4.576599
2459572	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.134708	-1.044322	-0.473515	-0.073292	1.259932	-0.439587	0.292229	-0.367377	0.6803	0.7006	0.3888	5.406953	5.148952
2459571	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	0.948012	0.322385	1.051100	0.493000	220.690648	0.711857	4.499287	-1.305351	0.0344	0.0297	0.0021	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459569	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.730744	-0.940350	2.200052	0.059215	35.578524	-0.638028	4.232938	-0.263802	0.7345	0.7533	0.2629	5.119985	4.898903
2459566	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.135028	-1.086499	0.709943	0.273453	-0.200956	-0.210093	-0.116960	-0.722400	0.6620	0.6835	0.4108	3.853968	3.290386
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	1.033212	1.033212	1.033557	1.033557	0.000000	0.000000	0.000000	0.000000	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.332701	-0.949123	-0.816232	-0.285505	1.195322	1.262074	0.230800	0.192884	0.6763	0.6903	0.4063	3.155759	3.032530
2459563	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.726545	-0.048403	6.977802	16.611337	0.041295	0.649686	1.682628	0.691245	0.6753	0.6848	0.3949	4.227065	4.004896
2459562	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.773700	1.990283	-1.924343	1.155601	-2.611021	0.115558	-0.675345	-1.426448	0.6663	0.6685	0.3983	3.158813	2.889750
2459561	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.276110	3.681805	2.404120	2.325571	1.324515	1.100817	-2.361404	-2.503332	0.6502	0.6707	0.3846	2.963306	2.659174
2459560	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.244730	0.567405	0.080434	0.120808	-0.711887	-0.681339	-1.220080	-1.474927	0.6621	0.6833	0.4007	3.598251	3.288181
2459559	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.405784	-1.371354	-1.287384	-1.132325	-0.625083	-0.534298	0.049714	-0.307685	0.6728	0.6921	0.3959	3.335399	2.942143
2459558	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0309	0.0279	0.0010	nan	nan
2459556	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.060609	-0.749636	1.107195	0.236487	1.686571	0.013296	0.140176	-0.133849	0.6730	0.6893	0.3968	4.284907	3.756776
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6801	0.6953	0.4049	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6493	0.6790	0.4022	nan	nan
2459552	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.025160	-0.468918	10.741749	1.488035	75.074552	0.733751	4.574081	-0.552690	0.6727	0.6974	0.3990	8.470090	7.426330
2459551	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.353635	-0.849256	-1.779299	-1.192540	-1.342902	-0.748871	0.103119	0.055434	0.6778	0.6967	0.3984	3.979542	3.424621
2459550	RF_maintenance	-	99.18%	99.18%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0420	0.0402	0.0009	nan	nan
2459549	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.667070	-0.716507	1.601613	0.520599	-0.346035	-0.099159	-0.122982	-0.455456	0.6632	0.6828	0.4202	3.777532	3.609827
2459542	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.000731	-1.126142	0.584230	-1.019289	1.202086	0.732709	-0.050087	-0.059003	0.7252	0.7307	0.3728	3.725848	3.197925
2459541	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459540	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.397771	-0.758182	-1.862705	-1.021756	-0.864519	-0.968623	-0.319735	-0.489031	0.7324	0.7350	0.3567	3.666622	3.188497
2459536	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459535	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.052093	-0.740131	-1.660250	-0.968023	-1.807427	-0.527440	0.036221	-0.251222	0.7731	0.7608	0.3733	4.391640	3.568564
2459534	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.005448	-0.629433	-1.588880	-0.991912	-1.088594	-0.706573	0.269199	-0.297873	0.7632	0.7532	0.3609	9.924481	8.467830
2459533	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.996470	-0.558689	2.359271	0.675962	-0.057093	-0.077909	0.838834	-0.098837	0.6993	0.7136	0.4073	4.004054	3.368173
2459532	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.500448	-0.524367	3.157815	0.670178	0.621556	0.050574	-0.314056	-0.631324	0.7005	0.7148	0.4072	4.613610	3.625703
2459530	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459522	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459513	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	1.482085	0.331312	1.048947	-0.079686	1.223563	3.437401	6.048146	-0.702674	0.0337	0.0315	0.0028	nan	nan
2459508	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.519728	-1.047986	0.709843	0.123321	-0.010506	0.293751	2.127638	-0.531399	0.9018	0.9329	0.2088	0.000000	0.000000
2459505	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.124872	-0.759893	6.358268	0.006193	-0.161884	0.999502	4.792788	0.469025	0.0655	0.0739	0.0029	1.060624	1.079549
2459503	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.422570	-0.675188	0.281586	1.082693	0.942079	0.666861	1.873758	-0.361099	0.8704	0.8620	0.4477	0.000000	0.000000
2459501	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.506363	-0.888734	-0.614737	1.096170	-0.760063	0.415954	0.673341	-1.032473	0.0930	0.1010	0.0071	0.000000	0.000000
2459500	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.002313	-0.676157	-0.520347	0.690612	-0.120718	0.898253	0.336425	-0.937115	0.0820	0.0987	0.0062	0.000000	0.000000
2459499	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.427015	-0.873891	-0.216273	0.754302	0.159516	1.462227	1.592187	-0.381986	0.0882	0.1134	0.0057	0.000000	0.000000
2459498	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.542149	-0.499404	-0.590956	0.856493	-0.129563	0.717898	1.845335	-0.682467	0.0856	0.1022	0.0077	0.000000	0.000000
2459497	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.340279	-0.463637	-0.654401	1.018368	0.162931	1.903257	0.680099	-0.507363	0.0964	0.1059	0.0086	0.000000	0.000000
2459496	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.231847	-0.808237	-0.403258	0.800137	0.490467	1.507135	0.677329	-0.656870	0.1035	0.1201	0.0085	0.000000	0.000000
2459495	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.048739	-0.615692	-0.194077	0.717127	0.557291	1.761953	0.628277	-0.754485	0.0952	0.1164	0.0082	0.000000	0.000000
2459494	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.013280	-0.712013	-0.084446	0.660501	1.373557	1.532379	2.401972	-0.267711	0.0943	0.1156	0.0076	0.000000	0.000000
2459492	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-1.264776	-0.300612	-1.118129	0.939702	-0.319163	-0.070692	4.753738	0.008684	0.0769	0.0861	0.0059	0.000000	0.000000
2459491	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-1.386959	-0.192385	-0.817802	0.742525	-0.635870	-0.151917	0.296781	0.831514	0.0877	0.0885	0.0050	0.000000	0.000000
2459490	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.066404	-0.854121	-0.220296	0.949016	4.175305	0.177818	1.954527	-0.341407	0.7355	0.8028	0.3597	0.000000	0.000000
2459489	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.361329	-0.590143	12.699576	0.876140	53.979541	1.103368	4.728186	-0.444487	0.7501	0.8093	0.3122	0.000000	0.000000
2459488	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.388630	-0.087034	4.311357	0.953997	4.689486	-0.028335	-0.802069	-0.621350	0.7558	0.8109	0.3392	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 157 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 157, Node 12:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 157: 2459614

Antenna 157: 2459613

Antenna 157: 2459612

Antenna 157: 2459611

Antenna 157: 2459610

Antenna 157: 2459609

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Antenna 157: 2459579

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Antenna 157: 2459577

Antenna 157: 2459576

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Antenna 157: 2459570

Antenna 157: 2459569

Antenna 157: 2459566

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Antenna 157: 2459563

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Antenna 157: 2459542

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Antenna 157: 2459536

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Antenna 157: 2459532

Antenna 157: 2459530

Antenna 157: 2459527

Antenna 157: 2459524

Antenna 157: 2459523

Antenna 157: 2459522

Antenna 157: 2459513

Antenna 157: 2459508

Antenna 157: 2459506

Antenna 157: 2459505

Antenna 157: 2459503

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶